简介：Inthispaper,weextendanovelunconstrainedmultiobjectiveoptimizationalgorithm,so-calledmultiobjectiveextremaloptimization(MOEO),tosolvetheconstrainedmultiobjectiveoptimizationproblems(MOPs).Theproposedapproachisvalidatedbythreeconstrainedbenchmarkproblemsandsuccessfullyappliedtohandlingthreemultiobjectiveengineeringdesignproblemsreportedinliterature.Simulationresultsindicatethattheproposedapproachishighlycompetitivewiththreestate-of-the-artmultiobjectiveevolutionaryalgorithms,i.e.,NSGA-II,SPEA2andPAES.ThusMOEOcanbeconsideredagoodalternativetosolveconstrainedmultiobjectiveoptimizationproblems.
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